Snap-on Inc (SNA) Key Metrics REST API

• cURL
• Python
• JavaScript

curl "https://financialdata.net/api/v1/key-metrics?identifier=SNA&key=API_KEY"

import requests

                                                url = 'https://financialdata.net/api/v1/key-metrics?identifier=SNA&key=API_KEY'    
                                                response = requests.get(url)

                                                print(response.json())
                                            

const url = 'https://financialdata.net/api/v1/key-metrics?identifier=SNA&key=API_KEY';
                                            
                                                const response = await fetch(url);
                                                const data = await response.json();

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "SNA",
    "central_index_key": "0000091440",
    "registrant_name": "Snap-on Inc",
    "fiscal_year": "2025",
    "period_end_date": "2026-01-03",
    "earnings_per_share": 19.52,
    "earnings_per_share_forecast": null,
    "price_to_earnings_ratio": 17.9789959016393,
    "forward_price_to_earnings_ratio": null,
    "earnings_growth_rate": -1.66246851385391,
    "price_earnings_to_growth_ratio": -10.8146384438648,
    "book_value_per_share": 114.333973128599,
    "price_to_book_ratio": 3.06951635106097,
    "ebitda": 1492900000.0,
    "enterprise_value": 17862595000.0,
    "dividend_yield": 0.0252782480456802,
    "dividend_payout_ratio": 0.454518635067362,
    "debt_to_equity_ratio": 0.20273778616946,
    "capital_expenditures": 108200000.0,
    "free_cash_flow": 973500000.0,
    "return_on_equity": 0.171431943086416,
    "one_year_beta": 0.730288126031672,
    "three_year_beta": 0.779405142768691,
    "five_year_beta": 0.779058920578789
  },
  ...
]

The API endpoint returns key financial metrics such as price-to-earnings ratio, price-to-book ratio, free cash flow, etc. This information is particularly important for value investors looking to identify undervalued stocks. Data is available for several thousand US and international companies.